Senior Director, Product - Data Platform - Remote
Jersey City, Hudson County, New Jersey, 07097, USA
Listed on 2026-06-11
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Business
Business Systems/ Tech Analyst -
IT/Tech
Business Systems/ Tech Analyst
Senior Director, Product - Data Platform
United States - Remote
Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.
Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.
OverviewRithum is an AI‑first organization, meaning AI is foundational to how we work, collaborate, and grow. Across all roles, employees are expected to leverage AI to move faster, work smarter, and create repeatable patterns that benefit others. AI proficiency is a core capability, reinforced through clear standards, tooling, and ongoing support. At Rithum, you contribute to advancing our AI‑first ways of working.
Responsibilities- Define and lead the long‑term vision and strategy for the Commerce Intelligence Platform, aligned to company growth and revenue objectives
- Establish a differentiated product strategy that transforms data assets into high‑value, client‑facing offerings
- Translate market opportunities, client needs, and data capabilities into a clear, actionable product roadmap
- Build, launch, and scale monetizable data‑driven products across pricing, demand, and channel intelligence
- Define packaging, pricing, and commercialization strategies in partnership with Commercial and Finance teams
- Establish repeatable models for turning data capabilities into scalable, revenue‑generating products
- Validate product‑market fit and customer willingness to pay through iterative product launches, experimentation, and client feedback
- Define and evolve the productization layer between data infrastructure and client‑facing experiences
- Partner closely with Data Engineering to ensure scalable, reliable, and high‑quality data assets
- Drive platform strategy to enable extensibility, reuse, and long‑term product growth
- Lead through influence across Product, Engineering, Data, Sales, Marketing, and Client teams
- Shape and support go‑to‑market strategies, including positioning, packaging, and sales enablement
- Act as a key advisor to executive leadership on product strategy, investment priorities, and market opportunities
- Develop deep understanding of client needs across brands, retailers, and commerce channels to inform product direction
- Ensure products deliver measurable business outcomes and clear ROI for clients
- Drive adoption and usage of intelligence products through strong alignment with client and commercial teams
- Embed AI into product strategy to enhance insights, automation, and differentiation
- Leverage machine learning and predictive analytics to create competitive advantage
- Drive innovation in how intelligence is generated, delivered, and consumed by clients
Minimum Qualifications
- 12+ years of experience in Product Management, Strategy, or related roles in SaaS, data platforms, or technology companies
- Proven track record of building and scaling data‑driven or platform‑based products, including launching new products or product lines
- Demonstrated success delivering revenue‑generating products and establishing product‑market fit
- Experience defining product strategy, including pricing, packaging, and go‑to‑market alignment
- Strong cross‑functional leadership skills with the ability to influence executive stakeholders and drive alignment across organizations
- Deep understanding of how to translate data assets into client‑facing value and measurable business outcomes
Preferred Qualifications
- Bachelor's degree in business, Engineering, Computer Science, or a related field; MBA a plus
- Experience in commerce, retail, marketplaces, or adjacent ecosystems
- Background in top‑tier consulting or strategy roles
- Strong financial acumen, including experience building…
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